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Topological data analysis for biological ring channel dynamics

Topology, Geometry and Data Seminar
April 12, 2022
4:00PM - 5:00PM
Zoom

Date Range
Add to Calendar 2022-04-12 16:00:00 2022-04-12 17:00:00 Topological data analysis for biological ring channel dynamics Title:  Topological data analysis for biological ring channel dynamics Speaker:  Veronica Ciocanel (Duke) Speaker's URL:  https://services.math.duke.edu/~ciocanel/ Abstract:  Actin filaments are polymers that interact with myosin motor proteins and play important roles in cell motility, shape, and development. Depending on its function, this dynamic network of interacting proteins reshapes and organizes in a variety of structures, including contractile rings. Motivated by observations from the roundworm model organism, we use an agent-based modeling framework to simulate interactions between actin filaments and myosin motor proteins inside cells. We develop techniques based on topological data analysis to understand time-series data extracted from these filament network interactions. These measures allow us to compare the filament organization resulting from myosin motors with different properties.  More recently, we are studying extensions of these methods to experimental data. This work also raises questions about how to assess the significance of features in topological summaries such as persistence diagrams. URL associated with Seminar:  https://tgda.osu.edu/activities/tdga-seminar/ Zoom:  https://osu.zoom.us/j/93628189417?pwd=a0l3aU5OM3Z6U09lZFllYlJ0Tis0QT09   Zoom Department of Mathematics math@osu.edu America/New_York public

Title:  Topological data analysis for biological ring channel dynamics

Speaker:  Veronica Ciocanel (Duke)

Speaker's URL:  https://services.math.duke.edu/~ciocanel/

Abstract:  Actin filaments are polymers that interact with myosin motor proteins and play important roles in cell motility, shape, and development. Depending on its function, this dynamic network of interacting proteins reshapes and organizes in a variety of structures, including contractile rings. Motivated by observations from the roundworm model organism, we use an agent-based modeling framework to simulate interactions between actin filaments and myosin motor proteins inside cells. We develop techniques based on topological data analysis to understand time-series data extracted from these filament network interactions. These measures allow us to compare the filament organization resulting from myosin motors with different properties.  More recently, we are studying extensions of these methods to experimental data. This work also raises questions about how to assess the significance of features in topological summaries such as persistence diagrams.

URL associated with Seminar:  https://tgda.osu.edu/activities/tdga-seminar/

Zoom:  https://osu.zoom.us/j/93628189417?pwd=a0l3aU5OM3Z6U09lZFllYlJ0Tis0QT09
 

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